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Using information layers for mapping grassland habitat distribution at local to regional scales

Buck, Oliver ; Millán, Virginia E.Garcia LU ; Klink, Adrian and Pakzad, Kian (2015) In International Journal of Applied Earth Observation and Geoinformation 37. p.83-89
Abstract

The Natura 2000 network of protected sites is one of the means to enable biodiversity conservation in Europe. EU member states have to undertake surveillance of habitats and species of community interest protected under the Habitat Directive. Remote sensing techniques have been applied successfully to monitor biodiversity aspects according to Natura 2000, but many challenges remain in assessing dynamics and habitat changes outside protected sites. Grasslands are among the most threatened habitats in Europe. In this paper we tested the integration of expert knowledge into different standard classification approaches to map grassland habitats in Schleswig Holstein, Germany. Knowledge about habitat features is represented as raster... (More)

The Natura 2000 network of protected sites is one of the means to enable biodiversity conservation in Europe. EU member states have to undertake surveillance of habitats and species of community interest protected under the Habitat Directive. Remote sensing techniques have been applied successfully to monitor biodiversity aspects according to Natura 2000, but many challenges remain in assessing dynamics and habitat changes outside protected sites. Grasslands are among the most threatened habitats in Europe. In this paper we tested the integration of expert knowledge into different standard classification approaches to map grassland habitats in Schleswig Holstein, Germany. Knowledge about habitat features is represented as raster information layers, and used in subsequent grassland classifications. Overall classification accuracies were highest for the maximum likelihood and support vector machine approaches using RapidEye time series, but results improved for specific grassland classes when information layers were included in the classification process.

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author
; ; and
publishing date
type
Contribution to journal
publication status
published
keywords
Article 17 reporting, Biodiversity monitoring, Grassland, Habitat directive, Information layer, Natura 2000
in
International Journal of Applied Earth Observation and Geoinformation
volume
37
pages
7 pages
publisher
Elsevier
external identifiers
  • scopus:84926369197
ISSN
1569-8432
DOI
10.1016/j.jag.2014.10.012
language
English
LU publication?
no
id
13863540-80f7-4822-88d7-aec8334cad6e
date added to LUP
2019-06-12 12:09:47
date last changed
2022-04-10 18:14:17
@article{13863540-80f7-4822-88d7-aec8334cad6e,
  abstract     = {{<p>The Natura 2000 network of protected sites is one of the means to enable biodiversity conservation in Europe. EU member states have to undertake surveillance of habitats and species of community interest protected under the Habitat Directive. Remote sensing techniques have been applied successfully to monitor biodiversity aspects according to Natura 2000, but many challenges remain in assessing dynamics and habitat changes outside protected sites. Grasslands are among the most threatened habitats in Europe. In this paper we tested the integration of expert knowledge into different standard classification approaches to map grassland habitats in Schleswig Holstein, Germany. Knowledge about habitat features is represented as raster information layers, and used in subsequent grassland classifications. Overall classification accuracies were highest for the maximum likelihood and support vector machine approaches using RapidEye time series, but results improved for specific grassland classes when information layers were included in the classification process.</p>}},
  author       = {{Buck, Oliver and Millán, Virginia E.Garcia and Klink, Adrian and Pakzad, Kian}},
  issn         = {{1569-8432}},
  keywords     = {{Article 17 reporting; Biodiversity monitoring; Grassland; Habitat directive; Information layer; Natura 2000}},
  language     = {{eng}},
  month        = {{01}},
  pages        = {{83--89}},
  publisher    = {{Elsevier}},
  series       = {{International Journal of Applied Earth Observation and Geoinformation}},
  title        = {{Using information layers for mapping grassland habitat distribution at local to regional scales}},
  url          = {{http://dx.doi.org/10.1016/j.jag.2014.10.012}},
  doi          = {{10.1016/j.jag.2014.10.012}},
  volume       = {{37}},
  year         = {{2015}},
}